Staff Software Engineer - Python, Computer Vision

Role Overview

Responsibilities

• Design and lead scalable, reliable, cloud-agnostic machine learning platform components.
• Build APIs, microservices, orchestration, model registry integrations, and observability for ML workflows.
• Architect video AI pipelines covering ingestion, preprocessing, annotation, training, evaluation, serving, monitoring, and improvement.
• Deploy AI systems on GCP using Vertex AI, GKE, Cloud Run, BigQuery, Cloud Storage, and Pub/Sub.
• Own Terraform, Kubernetes, Docker, CI/CD, and Infrastructure-as-Code automation.
• Evaluate, fine-tune, train, optimize, and deploy computer vision and multimodal AI models.
• Mentor engineers and influence architecture and technical direction across teams.

Requirements

• 9–12+ years of experience building scalable backend systems, distributed services, and cloud-native platforms.
• Strong GCP and Vertex AI experience, including Pipelines, Model Registry, Endpoints, GKE, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, Monitoring, and Logging.
• Production experience with ML training, evaluation, serving, monitoring, rollback, and lifecycle management.
• Strong knowledge of deep learning, computer vision, generative AI, PyTorch, TensorFlow, and Hugging Face.
• Excellent Python proficiency with strong software design, API design, and architecture skills.
• Strong Terraform, Kubernetes, Docker, containerized deployment, CI/CD, and Infrastructure-as-Code experience.
• Experience with APIs, microservices, event-driven systems, asynchronous processing, and observability stacks.
• Familiarity with Triton, TorchServe, vLLM, RAG, LLM/VLM deployment, vector databases, and GPU inference is preferred.
• A relevant Bachelor’s or Master’s degree is required, with equivalent practical experience also considered.

What We Offer

• The employer describes the organization as a great place to work.
• The posting mentions equal opportunity employment and fast-track growth opportunities.